Author:
Ács Bernie,Llorà Xavier,Auvil Loretta,Capitanu Boris,Tcheng David,Haberman Mike,Dong Limin,Wentling Tim,Welge Michael
Cited by
6 articles.
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1. Scientific Workflows;ACM Computing Surveys;2017-12-31
2. dispel4py: A Python framework for data-intensive scientific computing;The International Journal of High Performance Computing Applications;2016-06-01
3. dispel4py: Agility and Scalability for Data-Intensive Methods Using HPC;Conquering Big Data with High Performance Computing;2016
4. Big Data at Scale for Digital Humanities;Big Data;2016
5. The demand for consistent web-based workflow editors;Proceedings of the 8th Workshop on Workflows in Support of Large-Scale Science;2013-11-17